Some Expressions for the Variance of a Cross-Validation Full article
| Conference |
22nd All-Russian Conference with International Participation “Mathematical Methods of Pattern Recognition” , September 22–26, 2025 22-26 Sep 2025 , Муром |
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| Journal |
Pattern Recognition and Image Analysis
ISSN: 1054-6618 , E-ISSN: 1555-6212 |
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| Output data | Year: 2026, Volume: 36, Number: 2, Pages: 642-647 Pages count : 6 DOI: 10.1134/s1054661826700458 | ||
| Authors |
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| Affiliations |
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Funding (1)
| 1 | Министерство науки и высшего образования РФ | FWNF-2026-0005 |
Abstract:
Cross-validation is one of the main methods for assessing the quality of solutions in machine learning. However, it remains unknown which of its varieties gives the most accurate results. To answer this question, it is necessary to learn how to calculate the variance of a cross-validation estimate. In this study, we will obtain some useful expressions for this quantity, which, in particular, make it possible to estimate the influence of the number of folds in splitting the sample. In the study, the effect of sample stratification during cross-validation has also been evaluated. To obtain a more pronounced difference, it has been proposed to perform the estimate using a procedure that is, in a sense, the opposite of stratification.
Cite:
Nedel’ko V.M.
Some Expressions for the Variance of a Cross-Validation
Pattern Recognition and Image Analysis. 2026. V.36. N2. P.642-647. DOI: 10.1134/s1054661826700458 WOS OpenAlex
Some Expressions for the Variance of a Cross-Validation
Pattern Recognition and Image Analysis. 2026. V.36. N2. P.642-647. DOI: 10.1134/s1054661826700458 WOS OpenAlex
Dates:
| Submitted: | Feb 28, 2026 |
| Accepted: | Mar 17, 2026 |
| Published print: | Sep 6, 2026 |
| Published online: | Sep 6, 2026 |
Identifiers:
| ≡ Web of science: | WOS:001869006800026 |
| ≡ OpenAlex: | W7210276216 |